code: def get_roi_align_input_values():  # type: ignore
      X = np.array(
          [
              [
                  [
                      [
                          0.2764,
                          0.7150,
                          0.1958,
                          0.3416,
                          0.4638,
                          0.0259,
                          0.2963,
                          0.6518,
                          0.4856,
                          0.7250,
                      ],
                      [
                          0.9637,
                          0.0895,
                          0.2919,
                          0.6753,
                          0.0234,
                          0.6132,
                          0.8085,
                          0.5324,
                          0.8992,
                          0.4467,
                      ],
                      [
                          0.3265,
                          0.8479,
                          0.9698,
                          0.2471,
                          0.9336,
                          0.1878,
                          0.4766,
                          0.4308,
                          0.3400,
                          0.2162,
                      ],
                      [
                          0.0206,
                          0.1720,
                          0.2155,
                          0.4394,
                          0.0653,
                          0.3406,
                          0.7724,
                          0.3921,
                          0.2541,
                          0.5799,
                      ],
                      [
                          0.4062,
                          0.2194,
                          0.4473,
                          0.4687,
                          0.7109,
                          0.9327,
                          0.9815,
                          0.6320,
                          0.1728,
                          0.6119,
                      ],
                      [
                          0.3097,
                          0.1283,
                          0.4984,
                          0.5068,
                          0.4279,
                          0.0173,
                          0.4388,
                          0.0430,
                          0.4671,
                          0.7119,
                      ],
                      [
                          0.1011,
                          0.8477,
                          0.4726,
                          0.1777,
                          0.9923,
                          0.4042,
                          0.1869,
                          0.7795,
                          0.9946,
                          0.9689,
                      ],
                      [
                          0.1366,
                          0.3671,
                          0.7011,
                          0.6234,
                          0.9867,
                          0.5585,
                          0.6985,
                          0.5609,
                          0.8788,
                          0.9928,
                      ],
                      [
                          0.5697,
                          0.8511,
                          0.6711,
                          0.9406,
                          0.8751,
                          0.7496,
                          0.1650,
                          0.1049,
                          0.1559,
                          0.2514,
                      ],
                      [
                          0.7012,
                          0.4056,
                          0.7879,
                          0.3461,
                          0.0415,
                          0.2998,
                          0.5094,
                          0.3727,
                          0.5482,
                          0.0502,
                      ],
                  ]
              ]
          ],
          dtype=np.float32,
      )
      batch_indices = np.array([0, 0, 0], dtype=np.int64)
      rois = np.array(
          [[0, 0, 9, 9], [0, 5, 4, 9], [5, 5, 9, 9]], dtype=np.float32
      )
      return X, batch_indices, rois
  
file_path: onnx/onnx/backend/test/case/node/roialign.py
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
label_desc: Use image node_id 1 for calling a global function with example usage: get_roi_align_input_values() and returns: X,  batch_indices,  rois